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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A systematic review of physiological signals based driver drowsiness detection systems
Adil Ali Saleem, Hafeez Ur Rehman Siddiqui, Muhammad Amjad Raza, et al.
Cognitive Neurodynamics (2022) Vol. 17, Iss. 5, pp. 1229-1259
Closed Access | Times Cited: 22

Showing 22 citing articles:

Detection of Drowsiness among Drivers Using Novel Deep Convolutional Neural Network Model
Fiaz Majeed, Umair Shafique, Mejdl Safran, et al.
Sensors (2023) Vol. 23, Iss. 21, pp. 8741-8741
Open Access | Times Cited: 17
The detection of alcohol intoxication using electrooculography signals from smart glasses and machine learning techniques
Rafał Doniec, Natalia Piaseczna, Konrad Duraj, et al.
Systems and Soft Computing (2024) Vol. 6, pp. 200078-200078
Open Access | Times Cited: 6
Application of artificial intelligence in cognitive load analysis using functional near-infrared spectroscopy: A systematic review
Mehshan Ahmed Khan, Houshyar Asadi, Zhang Li, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123717-123717
Open Access | Times Cited: 6
Enhancing Road Safety: Deep Learning-Based Intelligent Driver Drowsiness Detection for Advanced Driver-Assistance Systems
Eunmok Yang, Okyeon Yi
Electronics (2024) Vol. 13, Iss. 4, pp. 708-708
Open Access | Times Cited: 5
Machine learning based methods for driver drowsiness detection
Yagna V. Bhatt, Narayan A. Joshi
AIP conference proceedings (2025) Vol. 3224, pp. 020025-020025
Closed Access
GCN-MLP Framework for EEG-Based Vigilance Estimation for Variable Data Length
Ravi Shekhar Tiwari, Shabnam Samima, Tauheed Ahmed
Lecture notes in computer science (2025), pp. 281-294
Closed Access
Efficient Embedded System for Drowsiness Detection Based on EEG Signals: Features Extraction and Hardware Acceleration
Aymen Zayed, Emanuel Trabes, Jimmy Tarrillo, et al.
Electronics (2025) Vol. 14, Iss. 3, pp. 404-404
Open Access
The impact of spiral tunnel characteristics on driver HRV and stress perception: A naturalistic driving experiment
Lei Han, Zhigang Du, Shoushuo Wang
Accident Analysis & Prevention (2025) Vol. 214, pp. 107983-107983
Closed Access
Efficient Generalized EEG-Based Drowsiness Detection Approach with Minimal Electrodes
Aymen Zayed, Nidhameddine Belhadj, Khaled Ben Khalifa, et al.
(2024)
Open Access | Times Cited: 2
Driver State Monitoring Technology for Conditionally Automated Vehicles: Review and Future Prospects
You Qu, Hongyu Hu, Jiarui Liu, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-20
Closed Access | Times Cited: 5
Research on Driver’s Fatigue Detection Based on Information Fusion
Meiyan Zhang, Boqi Zhao, Jipu Li, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 79, Iss. 1, pp. 1039-1061
Open Access | Times Cited: 1
Exploiting Blood Volume Pulse and Skin Conductance for Driver Drowsiness Detection
Angelica Poli, Andrea Amidei, Simone Benatti, et al.
(2023), pp. 50-61
Closed Access | Times Cited: 4
A Driver Fatigue Detection Method Based on Eye Aspect Ratio Compensated by Head Pose Estimation
Meng Zhang, Fumin Zhang
2022 7th International Conference on Signal and Image Processing (ICSIP) (2023) Vol. 59, pp. 161-165
Closed Access | Times Cited: 2
Ultra-Wide Band Radar Empowered Driver Drowsiness Detection with Convolutional Spatial Feature Engineering and Artificial Intelligence
Hafeez Ur Rehman Siddiqui, Ambreen Akmal, Muhammad Iqbal, et al.
Sensors (2024) Vol. 24, Iss. 12, pp. 3754-3754
Open Access
Lightweight YOLOv8 Networks for Driver Profile Face Drowsiness Detection
Meng Zhang, Fumin Zhang
International Journal of Automotive Technology (2024) Vol. 25, Iss. 6, pp. 1331-1343
Closed Access
Efficient Generalized Electroencephalography-Based Drowsiness Detection Approach with Minimal Electrodes
Aymen Zayed, Nidhameddine Belhadj, Khaled Ben Khalifa, et al.
Sensors (2024) Vol. 24, Iss. 13, pp. 4256-4256
Open Access
Efficient Light-weight Deep Learning Models for Drowsiness Detection
Anjali Rajak, Pranshul Hatwar, Animesh Tiwari, et al.
(2024), pp. 1-6
Closed Access
A systematic review on analysis of automatic drowsiness detection for preventing road accidents
E. Mary Bearly, R. Chitra
Multimedia Tools and Applications (2024)
Closed Access
Tracking Vigilance Fluctuations in Real-Time: A Sliding-Window HRV-based Machine-Learning Approach
Tian Xie, Ning Ma
SLEEP (2024)
Closed Access
MF-Net: a multimodal fusion network for emotion recognition based on multiple physiological signals
Lei Zhu, Yu Ding, Aiai Huang, et al.
Signal Image and Video Processing (2024) Vol. 19, Iss. 1
Closed Access
Study of Driver's Perception in Driving Tasks Based on Naturalistic Driving Experiments and fNIRS Measurement
B. Li, Xin Pei, Dan Zhang, et al.
Tsinghua Science & Technology (2024) Vol. 30, Iss. 2, pp. 796-812
Closed Access
Driver Fatigue Detection Using OpenCV and Dlib Library
Kuang Shen, Rusyaizila Ramli, Joong Huang Chuah, et al.
2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) (2023) Vol. 28, pp. 1-6
Closed Access | Times Cited: 1
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